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    "name": "AI Based QR Code Detection",
    "folder": "AI-Based QR Code Detection",
    "category": "Computer Vision",
    "difficulty": "Beginner",
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      "NLP",
      "OpenCV",
      "XGBoost",
      "scikit-learn"
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  {
    "name": "AI Based  Resume Gap Detector",
    "folder": "AI_Based__Resume_Gap_Detector",
    "category": "Computer Vision",
    "difficulty": "Advanced",
    "tech": [],
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  {
    "name": "AI Language Learning Assistant",
    "folder": "AI_Language_Learning_Assistant",
    "category": "Audio",
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    "tech": [],
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  {
    "name": "AI Resume Analyzer",
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      "NLP"
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  {
    "name": "ANN Energy Consumption Predictor",
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    "category": "NLP",
    "difficulty": "Unknown",
    "tech": [
      "TensorFlow"
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    "name": "ANPR PI",
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      "OpenCV",
      "PyTorch"
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    "name": "Accent Neutralizer for Speech",
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    "category": "Audio",
    "difficulty": "Unknown",
    "tech": [
      "Audio",
      "Transformers"
    ],
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    "hasReadme": true
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  {
    "name": "Advanced Visualizations",
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    "category": "Other",
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    "name": "Air quality prediction",
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    "tech": [
      "LightGBM",
      "NumPy",
      "Pandas",
      "PyTorch",
      "scikit-learn"
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    "name": "Algorithmic Trading Strategy Optimization Using Genetic Algorithms",
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    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas"
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  {
    "name": "Alzheimer's Disease Predictor",
    "folder": "Alzheimer's Disease Predictor",
    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "OpenCV",
      "TensorFlow",
      "scikit-learn"
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    "hasRequirements": true,
    "hasReadme": true
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  {
    "name": "Analysis & predict Black friday sale",
    "folder": "Analysis_&_predict_Black_friday_sale",
    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas",
      "scikit-learn"
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    "hasReadme": true
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  {
    "name": "Animal Cancer Disease Prediction",
    "folder": "Animal_Cancer_Disease_Prediction",
    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "scikit-learn"
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    "hasReadme": true
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  {
    "name": "Animal Detection Alert System",
    "folder": "Animal_Detection_Alert_System",
    "category": "Computer Vision",
    "difficulty": "Intermediate",
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    "hasReadme": true
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  {
    "name": "Anime Data Analysis and Prediction",
    "folder": "Anime Data Analysis and Prediction",
    "category": "Computer Vision",
    "difficulty": "Unknown",
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      "NumPy",
      "Pandas"
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  {
    "name": "Anomaly Detection in Transactions using Deep Learning",
    "folder": "Anomaly Detection in Transactions using Deep Learning",
    "category": "Computer Vision",
    "difficulty": "Beginner",
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      "NumPy",
      "Pandas",
      "TensorFlow",
      "scikit-learn"
    ],
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    "hasReadme": true
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  {
    "name": "Artificial neural network from scratch",
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    "category": "NLP",
    "difficulty": "Unknown",
    "tech": [],
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  {
    "name": "Association Rule Implementation",
    "folder": "Association Rule Implementation",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas"
    ],
    "hasRequirements": true,
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  {
    "name": "Attention and Transformers",
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    "category": "Computer Vision",
    "difficulty": "Beginner",
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      "NLP",
      "PyTorch",
      "Transformers"
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    "hasReadme": true
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  {
    "name": "Audio Classification",
    "folder": "Audio Classification",
    "category": "Audio",
    "difficulty": "Unknown",
    "tech": [
      "Audio",
      "NumPy"
    ],
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  {
    "name": "Audio Deepfake Detection",
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    "category": "Audio",
    "difficulty": "Advanced",
    "tech": [
      "Audio",
      "TensorFlow",
      "scikit-learn"
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    "hasReadme": true
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  {
    "name": "Autism Identification System",
    "folder": "Autism Identification System",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas",
      "scikit-learn"
    ],
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    "hasReadme": true
  },
  {
    "name": "AutoML Tabular Pipeline",
    "folder": "AutoML_Tabular_Pipeline",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [],
    "hasRequirements": false,
    "hasReadme": false
  },
  {
    "name": "Automated Financial Reporting with Deep Learning",
    "folder": "Automated Financial Reporting with Deep Learning",
    "category": "NLP",
    "difficulty": "Unknown",
    "tech": [
      "TensorFlow"
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  {
    "name": "Automatic Comment Generation",
    "folder": "Automatic Comment Generation",
    "category": "NLP",
    "difficulty": "Unknown",
    "tech": [
      "Transformers"
    ],
    "hasRequirements": true,
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  {
    "name": "Automatic Summarization of Scientific Papers",
    "folder": "Automatic Summarization of Scientific Papers",
    "category": "NLP",
    "difficulty": "Unknown",
    "tech": [],
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  {
    "name": "Autonomous Research AI Agent",
    "folder": "Autonomous Research AI Agent",
    "category": "NLP",
    "difficulty": "Beginner",
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    "hasReadme": true
  },
  {
    "name": "Basics of ML and DL",
    "folder": "Basics of ML and DL",
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      "NLP",
      "NumPy",
      "Pandas",
      "TensorFlow",
      "scikit-learn"
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    "hasRequirements": false,
    "hasReadme": true
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  {
    "name": "Basics of Power Bi",
    "folder": "Basics of Power Bi",
    "category": "Other",
    "difficulty": "Beginner",
    "tech": [],
    "hasRequirements": false,
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  },
  {
    "name": "Basics of the Python",
    "folder": "Basics of the Python",
    "category": "NLP",
    "difficulty": "Beginner",
    "tech": [
      "NumPy",
      "Pandas",
      "scikit-learn"
    ],
    "hasRequirements": false,
    "hasReadme": true
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  {
    "name": "Bidirectional LSTM",
    "folder": "Bidirectional LSTM",
    "category": "Audio",
    "difficulty": "Unknown",
    "tech": [
      "NLP",
      "NumPy",
      "Pandas",
      "TensorFlow",
      "scikit-learn"
    ],
    "hasRequirements": false,
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  {
    "name": "Bike Price Prediction",
    "folder": "Bike Price Prediction",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas",
      "XGBoost",
      "scikit-learn"
    ],
    "hasRequirements": false,
    "hasReadme": true
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  {
    "name": "Bird Species Classification Web App",
    "folder": "Bird Species Classification Web App",
    "category": "Computer Vision",
    "difficulty": "Beginner",
    "tech": [
      "NumPy",
      "TensorFlow"
    ],
    "hasRequirements": true,
    "hasReadme": true
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  {
    "name": "Bitcoin Price Prediction Web App",
    "folder": "Bitcoin Price Prediction Web App",
    "category": "Computer Vision",
    "difficulty": "Beginner",
    "tech": [
      "LightGBM",
      "NumPy",
      "Pandas",
      "XGBoost",
      "scikit-learn"
    ],
    "hasRequirements": true,
    "hasReadme": true
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  {
    "name": "Bitcoin Price Predictor",
    "folder": "Bitcoin Price Predictor",
    "category": "Time Series",
    "difficulty": "Beginner",
    "tech": [
      "NumPy",
      "Pandas",
      "TensorFlow",
      "scikit-learn"
    ],
    "hasRequirements": true,
    "hasReadme": true
  },
  {
    "name": "Bitcoin Price Prediction Mobile App",
    "folder": "Bitcoin_Price_Prediction_Mobile_App",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [
      "scikit-learn"
    ],
    "hasRequirements": false,
    "hasReadme": true
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  {
    "name": "Brain Tumor Detection",
    "folder": "Brain Tumor Detection",
    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas",
      "TensorFlow"
    ],
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  {
    "name": "Breast Cancer Detection using DL with Webapp",
    "folder": "Breast Cancer Detection using DL with Webapp",
    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [
      "TensorFlow"
    ],
    "hasRequirements": true,
    "hasReadme": true
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  {
    "name": "CBOW PyTorch",
    "folder": "CBOW_PyTorch",
    "category": "Computer Vision",
    "difficulty": "Beginner",
    "tech": [
      "PyTorch"
    ],
    "hasRequirements": true,
    "hasReadme": true
  },
  {
    "name": "CBT ChatBot",
    "folder": "CBT_ChatBot",
    "category": "Computer Vision",
    "difficulty": "Beginner",
    "tech": [],
    "hasRequirements": false,
    "hasReadme": true
  },
  {
    "name": "COVID 19 DATA ANALYSIS",
    "folder": "COVID_19-DATA-ANALYSIS",
    "category": "Audio",
    "difficulty": "Advanced",
    "tech": [
      "Audio",
      "NumPy",
      "Pandas"
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    "hasRequirements": false,
    "hasReadme": true
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  {
    "name": "Chatbot Using RASA",
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    "category": "NLP",
    "difficulty": "Beginner",
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      "NLP"
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  {
    "name": "Cheat Sheets",
    "folder": "Cheat Sheets",
    "category": "Other",
    "difficulty": "Unknown",
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      "NumPy",
      "Pandas",
      "PyTorch"
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  {
    "name": "Chess Based Project",
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    "category": "Other",
    "difficulty": "Unknown",
    "tech": [],
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  {
    "name": "Chi Square Test",
    "folder": "Chi-Square Test",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas"
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  {
    "name": "Chicken Disease Classification",
    "folder": "Chicken_Disease_Classification",
    "category": "Computer Vision",
    "difficulty": "Unknown",
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  {
    "name": "Chronic Kidney Disease Prediction",
    "folder": "Chronic Kidney Disease Prediction",
    "category": "Other",
    "difficulty": "Advanced",
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      "NumPy",
      "Pandas",
      "TensorFlow",
      "scikit-learn"
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  {
    "name": "ChurnScope",
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      "NumPy",
      "Pandas",
      "XGBoost",
      "scikit-learn"
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  {
    "name": "Class Imbalance problem",
    "folder": "Class Imbalance problem",
    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "scikit-learn"
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    "name": "Classification Algorithms",
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    "category": "Other",
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  {
    "name": "Cloud Details",
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    "category": "Other",
    "difficulty": "Unknown",
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    "name": "Clustering Algorithms",
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    "category": "Other",
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      "NumPy",
      "scikit-learn"
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    "name": "Company Bankruptcy Using unsupervised",
    "folder": "Company Bankruptcy Using unsupervised",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [],
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  {
    "name": "Concept Drift Detection and Adaptive Retraining Pipeline",
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    "category": "NLP",
    "difficulty": "Unknown",
    "tech": [],
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  {
    "name": "Constellation Classification",
    "folder": "Constellation_Classification",
    "category": "NLP",
    "difficulty": "Unknown",
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  {
    "name": "Consumer Complaint Dataset",
    "folder": "Consumer Complaint Dataset",
    "category": "NLP",
    "difficulty": "Unknown",
    "tech": [
      "NLP"
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  {
    "name": "Continuous Handwriting Text Recognition",
    "folder": "Continuous Handwriting Text Recognition",
    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [
      "NLP",
      "Transformers"
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  {
    "name": "Core Utilty Functions for robust model handling",
    "folder": "Core-Utilty-Functions-for-robust-model-handling",
    "category": "Other",
    "difficulty": "Beginner",
    "tech": [
      "NumPy",
      "scikit-learn"
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  {
    "name": "Covid19 forecasting with prophet",
    "folder": "Covid19 forecasting with prophet",
    "category": "Audio",
    "difficulty": "Advanced",
    "tech": [
      "Audio",
      "Pandas"
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  {
    "name": "Covid Third Wave Forecasting",
    "folder": "Covid_Third_Wave_Forecasting",
    "category": "Audio",
    "difficulty": "Beginner",
    "tech": [
      "Audio",
      "NumPy",
      "Pandas",
      "TensorFlow",
      "scikit-learn"
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    "hasRequirements": false,
    "hasReadme": true
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  {
    "name": "Credit Card Fraud Anomaly Detection",
    "folder": "Credit_Card_Fraud_Anomaly_Detection",
    "category": "Other",
    "difficulty": "Advanced",
    "tech": [
      "LightGBM",
      "XGBoost"
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  {
    "name": "Crime Analytics",
    "folder": "Crime_Analytics",
    "category": "NLP",
    "difficulty": "Advanced",
    "tech": [],
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  {
    "name": "Crop Recommendation System",
    "folder": "Crop Recommendation System",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas",
      "scikit-learn"
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  {
    "name": "CrowdAI Plant Disease",
    "folder": "CrowdAI Plant Disease",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [],
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    "name": "Crude oil forecasting",
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    "category": "NLP",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas",
      "TensorFlow",
      "scikit-learn"
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  {
    "name": "Customer Segmentation USvAlgorithm",
    "folder": "Customer Segmentation USvAlgorithm",
    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [],
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  {
    "name": "Customer Segmentation using Machine Learning",
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    "category": "Computer Vision",
    "difficulty": "Beginner",
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  {
    "name": "Customer Review Sentiment Analyzer",
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    "category": "NLP",
    "difficulty": "Beginner",
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      "NumPy",
      "Pandas",
      "Transformers",
      "XGBoost",
      "scikit-learn"
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    "name": "Cyberbullying Classification",
    "folder": "Cyberbullying Classification",
    "category": "NLP",
    "difficulty": "Advanced",
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    "name": "Dark Pattern Detection",
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    "category": "NLP",
    "difficulty": "Beginner",
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  {
    "name": "Data Cleaning Techniques",
    "folder": "Data Cleaning Techniques",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [
      "scikit-learn"
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    "name": "Data Filling and Cleaning Techniques",
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  {
    "name": "Dataset Resources",
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    "category": "Other",
    "difficulty": "Unknown",
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    "hasRequirements": false,
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  {
    "name": "Deep Fashion Recommendation system",
    "folder": "Deep-Fashion-Recommendation-system",
    "category": "Computer Vision",
    "difficulty": "Advanced",
    "tech": [
      "NumPy",
      "TensorFlow"
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    "hasReadme": true
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  {
    "name": "Deepfake image analyzer",
    "folder": "Deepfake_image_analyzer",
    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "TensorFlow",
      "scikit-learn"
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    "hasRequirements": false,
    "hasReadme": true
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    "name": "Deepfake video detection",
    "folder": "Deepfake_video_detection",
    "category": "Computer Vision",
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      "NumPy",
      "TensorFlow",
      "scikit-learn"
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  {
    "name": "Defective Captcha Image Recognition",
    "folder": "Defective Captcha Image Recognition",
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    "difficulty": "Beginner",
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      "NumPy",
      "Pandas",
      "TensorFlow",
      "scikit-learn"
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    "hasReadme": true
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  {
    "name": "Detection Transformer DETR",
    "folder": "Detection_Transformer_DETR",
    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [
      "PyTorch",
      "Transformers"
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    "hasRequirements": false,
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    "name": "Diabetes Prediction",
    "folder": "Diabetes Prediction",
    "category": "Other",
    "difficulty": "Unknown",
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    "name": "Diabetes Prediction",
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    "category": "Other",
    "difficulty": "Unknown",
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  {
    "name": "Different types of Clustering",
    "folder": "Different types of Clustering",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas",
      "scikit-learn"
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  {
    "name": "Different types of feature selection techniques",
    "folder": "Different types of feature selection techniques",
    "category": "Other",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas"
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    "hasRequirements": false,
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  {
    "name": "Different types of scaling Method",
    "folder": "Different_types_of_scaling_Method",
    "category": "Computer Vision",
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    "name": "EDA StackOverflow Survey 2023",
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    "name": "Explaination and Example for P value with code",
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    "name": "Finan AI Financial Advisor",
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    "name": "Financial Crisis Early Warning System",
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    "name": "Interactive ML Algorithm Recommendation Guide for Beginners",
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    "name": "MIXUP&CUTMIX DASHBOARD",
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    "name": "MLOps for Beginners",
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    "name": "ML Capsule Cross Platform App",
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    "name": "MNIST English Classification",
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    "name": "Maternal Health Risk Prediction",
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    "name": "Medical Charges for Smokers and Non smoker",
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    "name": "Medical Help Chatbot",
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    "name": "Mental Health Text Analysis & Depression Risk Scorer",
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    "name": "Migraine Type Prediction",
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    "name": "Model Selection Tool",
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    "name": "Molecule Property Analysis",
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    "name": "Music Generation using LSTM",
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    "name": "NLTK Documentation",
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    "name": "NMT English German Attention",
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    "name": "Naive Bayes Documentation",
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    "name": "Nasa Asteroids Dataset Analysis",
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  {
    "name": "Number of people counter",
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    "name": "OCR Medicine Reader",
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    "name": "Ola Bike Ride Request Demand Forecast",
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  {
    "name": "Online Shoppers Intention Prediction",
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    "name": "PCOD Detection Using Ensemble Learning XAI",
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    "name": "Perceptron From Scratch",
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    "name": "PortFolio Optimaization Using Genetic ALgorithm",
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    "name": "Predicting Next Sequence Of Numbers Using LSTM",
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    "name": "QnA Conversational Agent",
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    "name": "Rainfall Trend Analysis and Forecasting",
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    "name": "Random Oversampler",
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    "name": "Road accident Analysis using Power BI",
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    "name": "Rock Paper Scissors Python Game",
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    "name": "Roommate Compatibility",
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    "name": "Sentiment analysis for depression based on social media posts",
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    "name": "Simulating Self Driving Cars",
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    "name": "SkinGen CGAN Skin Cancer",
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    "name": "Sleep Alarm Detector",
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      "OpenCV"
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    "name": "Sleep Disorder Prediction",
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      "scikit-learn"
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    "name": "Smart Container Risk Prediction",
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      "NumPy",
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      "scikit-learn"
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    "name": "Smart Home Energy Forecasting",
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      "NumPy",
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      "XGBoost",
      "scikit-learn"
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    "name": "Smartphone processor classification",
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      "scikit-learn"
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    "name": "Social Media Fake Accounts Detection with Interactive UI",
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    "name": "SongGenreClassifier",
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      "Pandas",
      "scikit-learn"
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    "name": "Spam Mail Classifier",
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      "Pandas",
      "scikit-learn"
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    "name": "Speech to Image Generator",
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    "tech": [
      "PyTorch",
      "Transformers"
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    "name": "Speech Emotion Recognition",
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    "name": "Spelling Corrector",
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      "TensorFlow"
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    "name": "Sports Analytics Project",
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      "Pandas"
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    "name": "Sports Image Classification",
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    "name": "Startup Profit Prediction",
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    "tech": [
      "NumPy",
      "Pandas",
      "scikit-learn"
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  {
    "name": "Statistical modeling python",
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    "difficulty": "Unknown",
    "tech": [
      "Pandas",
      "scikit-learn"
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    "name": "Stock Price Analysis",
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    "category": "Time Series",
    "difficulty": "Unknown",
    "tech": [
      "NumPy",
      "Pandas",
      "scikit-learn"
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    "name": "Student Placement Predictor",
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      "NumPy",
      "Pandas",
      "scikit-learn"
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    "hasReadme": true
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  {
    "name": "Sudoku Solver using CNN",
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    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [],
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    "hasReadme": false
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  {
    "name": "TCS Stock Analysis",
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    "tech": [
      "NumPy",
      "Pandas",
      "TensorFlow",
      "scikit-learn"
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  {
    "name": "Tensorflow.js Demo",
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    "category": "Computer Vision",
    "difficulty": "Unknown",
    "tech": [
      "TensorFlow"
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    "hasReadme": true
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    "name": "Terrain Classificaton",
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    "category": "Computer Vision",
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    "hasReadme": true
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  {
    "name": "Text Summarization Model",
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    "tech": [
      "NLP",
      "NumPy"
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    "name": "Theatre audience forecasting",
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      "NumPy",
      "Pandas",
      "XGBoost",
      "scikit-learn"
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    "name": "Time Series Forecasting with Python",
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      "Pandas",
      "TensorFlow"
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    "name": "Time Series LSTM Model",
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    "name": "Traffic Sign Recognition",
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      "TensorFlow",
      "scikit-learn"
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    "name": "Traffic Demand Prediction",
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    "name": "Transfer Learning",
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    "name": "TweetMiner AI",
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    "name": "Unique Chatbot",
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      "NLP"
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    "name": "Various Plots using Matplot,Seaborn,Pandas",
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      "Pandas"
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    "name": "Vehicles and Pedestrian Detection",
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      "OpenCV"
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  {
    "name": "Virtual Drag and Drop Using OpenCV",
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      "NumPy",
      "OpenCV"
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    "name": "WEAPON DETECTION SYSTEM",
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      "NumPy",
      "OpenCV"
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    "name": "Waste Management through Reinforcement Learning",
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    "name": "Weather Prediction",
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      "scikit-learn"
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    "name": "Web Traffic Time series forecasting",
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    "category": "Audio",
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      "NLP"
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    "name": "Web Scraping with Beautiful Soup master",
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    "name": "Website Classification",
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    "name": "Wildfire Survival Prediction",
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      "Pandas"
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    "name": "Windy Grid World RL",
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      "NumPy",
      "OpenCV",
      "PyTorch"
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    "name": "Wine Quality Prediction",
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      "Pandas",
      "scikit-learn"
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    "name": "XgBoost Algorithm",
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      "XGBoost"
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    "name": "dog vs cat",
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      "scikit-learn"
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    "name": "ensemble methods notebooks master",
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      "scikit-learn"
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    "name": "hand sign project",
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    "name": "heart failure",
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      "scikit-learn"
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    "name": "job Advertisement detection",
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      "TensorFlow"
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    "name": "market basket recommendation",
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    "name": "optimized the trading strategy based on sentiment analysis",
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      "Pandas"
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    "name": "salary prediction using RF",
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      "Pandas",
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    "name": "scripts",
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    "name": "solar panel defect detection",
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    "name": "website ML CaPsule",
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